Engineering-Internship-Goniometer/data_collection.py at main · CairnCoder/Engineering-Internship-Goniometer · GitHub

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from pylablib.devices.Thorlabs import KinesisMotor
from xtralien import Device
import numpy as np
import time
import processing, motor_rotation


def get_background(note: str, background_data:list, experiment_parameters:dict, apparatus_settings:dict):
    """Takes background_data and modifies it directly (modifies the global variable)."""

    # Connect to photodetector
    with Device(apparatus_settings['pd_led_com']) as device:
        print('Connected (photometer)')

        # Setup channels for LED & photodetector
        device[apparatus_settings["led_channel"]].set.enabled(False, response=0)
        device[apparatus_settings["pd_channel"]].set.osr(experiment_parameters["osr"], response=0)
        device[apparatus_settings["pd_channel"]].set.enabled(True, response=0)

        # Make background mesurement
        background_value = np.mean(device[apparatus_settings["pd_channel"]].measure(experiment_parameters["background_sample_count"]))
        background_data.append([note, background_value])
        print('Background measurement made')
    print('Disconnected (photometer)')
    print()


def get_data(experiment_data:list, measurement_angles:list, experiment_parameters:dict, apparatus_settings:dict):
    """Takes experiment_data and modifies it directly (modifies the global variable).
    ### MANUAL ADJUSTMENT ### - Assume is at calibrated position (is at greatest clockwise extream where the led can be seen from the photo detector)"""

    ## Record measurement type
    experiment_parameters["stop_for_measurement"] = True

    ## Tell user what angles are to be measured
    print("Mesurement angles: ", measurement_angles)


    ## Connect to photodetector & led
    with Device(apparatus_settings["pd_led_com"]) as device:
        device.connect()
        if not device.is_connected():
            raise Exception("Faild to connect (photometer & led)")
        else:
            print('Connected (photometer & led)')

        ## Setup channels for LED & photodetector
        device[apparatus_settings["led_channel"]].set.range(2, response=0)
        device[apparatus_settings["led_channel"]].set.osr(experiment_parameters["osr"], response=0)
        device[apparatus_settings["pd_channel"]].set.enabled(True, response=0)
        device[apparatus_settings["pd_channel"]].set.osr(experiment_parameters["osr"], response=0)


        ## Connect to motor 1
        with KinesisMotor(apparatus_settings["motor1_id"]) as motor1:
            print('Connected (motor1)')

            if any(isinstance(sub, list) for sub in measurement_angles):
                ### 2D case

                ## Connect to motor 2
                with KinesisMotor(apparatus_settings["motor2_id"]) as motor2:
                    print('Connected (motor2)')

                    for angle1, angle2 in measurement_angles:
                        ## Move
                        motor_rotation.go_to(apparatus_settings, angle1, angle2, motor1=motor1, motor2=motor2, max_velocity=True)

                        ## Turn on LED & get LED voltage and current (with osr=8, this takes 0.15s per sample)
                        led_voltage, led_current = device[apparatus_settings["led_channel"]].oneshot(experiment_parameters["target_led_voltage"])[0]

                        ## Get PD_Voltage & motor position
                        photodetector_votage = np.mean(device[apparatus_settings["pd_channel"]].measure(experiment_parameters["measurement_sample_count"]))
                        position_1 = processing.custom_modulo(processing.steps_to_degrees(motor1.get_position(),apparatus_settings))
                        position_2 = processing.steps_to_degrees(motor2.get_position(),apparatus_settings) % 360

                        # Record data
                        experiment_data.append([position_1, position_2, photodetector_votage, led_voltage, led_current]) #, ignore_index=True) # TODO test with and without

                        # Inform user of measurement
                        print(f'Measurement made, for {position_1}, {position_2}')

            else:
                ### 1D case

                for angle1 in measurement_angles:
                    ## Move
                    motor_rotation.go_to(apparatus_settings, angle1, motor1=motor1, max_velocity=True)

                    ## Turn LED on & get LED voltage and current (with osr=8, this takes 0.15s per sample)
                    led_voltage, led_current  = device[apparatus_settings["led_channel"]].oneshot(experiment_parameters["target_led_voltage"])[0]

                    ## Get PD_Voltage & motor position
                    photodetector_votage = np.mean(device[apparatus_settings["pd_channel"]].measure(experiment_parameters["measurement_sample_count"]))
                    position_1 = processing.custom_modulo(processing.steps_to_degrees(motor1.get_position(),apparatus_settings))

                    ## Record data
                    experiment_data.append([position_1, 0.0, photodetector_votage, led_voltage, led_current])

                    ## Inform user of measurement
                    print(f'Measurement made, for {position_1}')


        ## Turn off LED
        device[apparatus_settings["led_channel"]].set.enabled(False, response=0)

    print("Data collected")
    print()


def get_data_fast(experiment_data:list, measurement_interval:float, measeurement_info:tuple, experiment_parameters:dict, apparatus_settings:dict):
    angle1_start, angle1_end, angle1_velocity, angle2_start, angle2_end, angle2_velocity = measeurement_info
    """ ### MANUAL ADJUSTMENT ### - Assume is at calibrated position (is at greatest clockwise extream where the led can be seen from the photo detector)"""

    ## Add info to experiment_parameters
    experiment_parameters["stop_for_measurement"] = False
    experiment_parameters["measurement_sample_count"] = 1

    ## Alert user to forced overide of settings
    print("Overridden 'measurement_sample_count'. measurement_sample_count: 1")

    ## Show user the sample interval
    print("Mesurement interval (sec): ", measurement_interval)

    ## Connect to photodetector & led
    with Device(apparatus_settings["pd_led_com"]) as device:
        device.connect()
        if not device.is_connected():
            raise Exception("Faild to connect (photometer & led)")
        else:
            print('Connected (photometer & led)')

        ## Setup channels for LED & photodetector
        device[apparatus_settings["led_channel"]].set.enabled(True, response=0)
        device[apparatus_settings["led_channel"]].set.range(2, response=0)
        device[apparatus_settings["led_channel"]].set.osr(experiment_parameters["osr"], response=0)
        device[apparatus_settings["pd_channel"]].set.enabled(True, response=0)
        device[apparatus_settings["pd_channel"]].set.osr(experiment_parameters["osr"], response=0)

        ## Connect to motor 1
        with KinesisMotor(apparatus_settings["motor1_id"]) as motor1:
            motor1.setup_velocity(0,processing.degrees_to_steps(angle1_velocity,apparatus_settings),processing.degrees_to_steps(angle1_velocity,apparatus_settings))
            print('Connected (motor1)')

            if not (None in [angle2_start, angle2_end, angle2_velocity]):
                ### 2D case

                ## Connect to motor 2
                with KinesisMotor(apparatus_settings["motor2_id"]) as motor2:
                    motor2.setup_velocity(0,processing.degrees_to_steps(angle2_velocity,apparatus_settings),processing.degrees_to_steps(angle2_velocity,apparatus_settings))
                    print('Connected (motor2)')

                    ## Goto start
                    motor_rotation.go_to(apparatus_settings, angle1_start, angle2_start, motor1=motor1, motor2=motor2, max_velocity=True)

                    ## Start data collection
                    print('Data collection started')
                    motor1.move_to(processing.degrees_to_steps(angle1_end,apparatus_settings))
                    motor2.move_to(processing.degrees_to_steps(angle2_end,apparatus_settings))

                    while 'moving_bk' in motor1.get_status() or 'moving_fw' in motor1.get_status() or 'moving_bk' in motor2.get_status() or 'moving_fw' in motor2.get_status():
                        ## Turn on LED & get LED voltage and current (with osr=8, this takes 0.15s per sample)
                        led_voltage, led_current  = device[apparatus_settings["led_channel"]].oneshot(experiment_parameters["target_led_voltage"])[0]

                        ## Get PD_Voltage & motor position
                        photodetector_votage = np.mean(device[apparatus_settings["pd_channel"]].measure(experiment_parameters["measurement_sample_count"]))
                        position_1 = processing.custom_modulo(processing.steps_to_degrees(motor1.get_position(),apparatus_settings))             #-motor_base_position_in_steps + measurement_angles_in_steps[0]
                        position_2 = processing.steps_to_degrees(motor2.get_position(),apparatus_settings) % 360

                        ## Record data
                        experiment_data.append([position_1, position_2, photodetector_votage, led_voltage, led_current]) #, ignore_index=True) # TODO test with and without

                        ## Inform user of measurement
                        print(f'Measurement made, for {position_1}, {position_2}')

                        time.sleep(measurement_interval)


            else:
                ### 1D case

                ## Goto start
                motor_rotation.go_to(apparatus_settings, angle1_start, motor1=motor1, max_velocity=True)

                ## Start movement for data collection
                print('Data collection started')
                motor1.move_to(processing.degrees_to_steps(angle1_end,apparatus_settings))

                while 'moving_bk' in motor1.get_status() or 'moving_fw' in motor1.get_status():
                    ## Turn on LED & get LED voltage and current (with osr=8, this takes 0.15s per sample)
                    led_voltage, led_current  = device[apparatus_settings["led_channel"]].oneshot(experiment_parameters["target_led_voltage"])[0]

                    ## Get PD_Voltage & motor position
                    photodetector_votage = np.mean(device[apparatus_settings["pd_channel"]].measure(experiment_parameters["measurement_sample_count"]))
                    position_1 = processing.custom_modulo(processing.steps_to_degrees(motor1.get_position(),apparatus_settings))

                    ## Record data
                    experiment_data.append([position_1, 0.0, photodetector_votage, led_voltage, led_current]) #, ignore_index=True) # TODO test with and without

                    ## Inform user of measurement
                    print(f'Measurement made, for {position_1}')

                    time.sleep(measurement_interval)


    print('Data collection finished')
    print()